Aws Rds Spring Boot Integration

# AWS RDS Aurora Advanced Configuration

## Read/Write Split Configuration

For applications with heavy read operations, configure separate datasources:

**Multi-Datasource Configuration Class:**
```java
@Configuration
public class AuroraDataSourceConfig {

    @Primary
    @Bean(name = "writerDataSource")
    @ConfigurationProperties("spring.datasource.writer")
    public DataSource writerDataSource() {
        return DataSourceBuilder.create().build();
    }

    @Bean(name = "readerDataSource")
    @ConfigurationProperties("spring.datasource.reader")
    public DataSource readerDataSource() {
        return DataSourceBuilder.create().build();
    }

    @Primary
    @Bean(name = "writerEntityManagerFactory")
    public LocalContainerEntityManagerFactoryBean writerEntityManagerFactory(
            EntityManagerFactoryBuilder builder,
            @Qualifier("writerDataSource") DataSource dataSource) {
        return builder
                .dataSource(dataSource)
                .packages("com.example.domain")
                .persistenceUnit("writer")
                .build();
    }

    @Bean(name = "readerEntityManagerFactory")
    public LocalContainerEntityManagerFactoryBean readerEntityManagerFactory(
            EntityManagerFactoryBuilder builder,
            @Qualifier("readerDataSource") DataSource dataSource) {
        return builder
                .dataSource(dataSource)
                .packages("com.example.domain")
                .persistenceUnit("reader")
                .build();
    }

    @Primary
    @Bean(name = "writerTransactionManager")
    public PlatformTransactionManager writerTransactionManager(
            @Qualifier("writerEntityManagerFactory") EntityManagerFactory entityManagerFactory) {
        return new JpaTransactionManager(entityManagerFactory);
    }

    @Bean(name = "readerTransactionManager")
    public PlatformTransactionManager readerTransactionManager(
            @Qualifier("readerEntityManagerFactory") EntityManagerFactory entityManagerFactory) {
        return new JpaTransactionManager(entityManagerFactory);
    }
}
```

**Usage in Repository:**
```java
@Repository
public interface UserReadRepository extends JpaRepository<User, Long> {
    // Read operations automatically use reader endpoint
}

@Repository
public interface UserWriteRepository extends JpaRepository<User, Long> {
    // Write operations use writer endpoint
}
```

## SSL/TLS Configuration

Enable SSL for secure connections to Aurora:

**Aurora MySQL with SSL:**
```properties
spring.datasource.url=jdbc:mysql://myapp-aurora-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:3306/devops?useSSL=true&requireSSL=true&verifyServerCertificate=true
```

**Aurora PostgreSQL with SSL:**
```properties
spring.datasource.url=jdbc:postgresql://myapp-aurora-pg-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:5432/devops?ssl=true&sslmode=require
```

**Download RDS Certificate:**
```bash
# Download RDS CA certificate
wget https://truststore.pki.rds.amazonaws.com/global/global-bundle.pem

# Configure in application
spring.datasource.url=jdbc:mysql://...?useSSL=true&trustCertificateKeyStoreUrl=file:///path/to/global-bundle.pem
```

## AWS Secrets Manager Integration

**Add AWS SDK Dependency:**
```xml
<dependency>
    <groupId>software.amazon.awssdk</groupId>
    <artifactId>secretsmanager</artifactId>
    <version>2.20.0</version>
</dependency>
```

**Secrets Manager Configuration:**
```java
@Configuration
public class AuroraDataSourceConfig {

    @Value("${aws.secretsmanager.secret-name}")
    private String secretName;

    @Value("${aws.region}")
    private String region;

    @Bean
    public DataSource dataSource() {
        Map<String, String> credentials = getAuroraCredentials();

        HikariConfig config = new HikariConfig();
        config.setJdbcUrl(credentials.get("url"));
        config.setUsername(credentials.get("username"));
        config.setPassword(credentials.get("password"));
        config.setMaxim